Developing and optimizing microfluidics platform for ...
Transcript of Developing and optimizing microfluidics platform for ...
Developing and optimizing microfluidics platform for fabricating lignin
nanoparticles
Master’s thesis 2020
Master thesis
University of Turku
Department of Life Technologies
Molecular Systems Biology
Deependra Yadav
Supervisor:
Associate Prof. Hongbo Zhang
Pharmaceutical Sciences Laboratory
Faculty of Science and Engineering
Åbo Akademi University
Lab Supervisor:
Mr. Wali Inam
Pharmaceutical Sciences Laboratory
The originality of this thesis has been checked in accordance with the University of
Turku Quality assurance system using the Turnitin Originality check service
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Acknowledgement
I would like to express gratitude to the University of Turku for granting me scholarship to
pursue my master’s degree in Department of Life Technoogies, track Molecular Systems
Biology. I would also like to thank to the coordinator of our department Dr. Paula Mulo for
always being supportive and advising me throughout this journey and to assistant-prof Pauli
Kallio for being my department supervisor.
I like to express my special thanks to my supervisor, associate-Prof Hongbo Zhang for giving
me opportunity to participate with his research group and providing me an excellent
environment for learning new technique and also encouraging me to work individually, that
will be very fruitful for future.
I also like to express my special thanks to my lab supervisor Mr. Wali Inam, for teaching me
all the technique used in this project and being so positive and encourage me when we are
struggling to get result. I must have to thanks him for his suggestion in writing this thesis.
I appreciate the help of all the member of microfluidics lab for being so kind and helpful.
Finally, yet importantly I thank my parents for helping me through all the difficulties. I have
experienced your guidance in everyday life and will keep on trusting you for my future. Thank
you.
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Abstract Introduction: Lignin is a complex organic polymer, produced in large quantities as a by-
product from pulp and paper industries. Despite of large-scale production, lignin is not being
utilized for high value applications. Recently, researchers are showing greater interest in
fabricating lignin-based nanoparticles for drug delivery and other application. However, it is
challenging to fabricate lignin nanoparticles due to its complex chemical structure.
Microfluidics technology used for nanoparticle synthesis because it works on microscale
dimension with rapid and tunable mixing for better control over nanoprecipitation by
controlling different parameters like flow rate, precursor and mixing time. The objective of
this study is to develop method to fabricate lignin nanoparticles using microfluidics platform.
Material and methods: Two type of microfluidics chips were used for sequential
precipitation, one consisting of two tapered ends and another with one tapered end. Kraft lignin
(0.1%) was dissolved in ethylene glycol and lignin was precipitated with acetone and NaOH
(0.1M). The fabricated nanoparticles were characterised by dynamic light scattering (DLS)
and transmission electron microscope (TEM).
Result and Discussion: Two tapered end microfluidics chip were used to precipitate lignin
because two solvent, acetone as counter solvent and NaOH as triggering precipitation was
utilized, resulting nanoparticles of hydrodynamic particle size 162.5±1.82 nm, PDI 0.12±0.02
and zeta potential -24.6±2.17 mV at FRR 2:20:1 ml/hr (lignin:2ml/hr, acetone:20ml/hr, and
NaOH:1ml/hr) were obtained. Whereas hybrid lignin nanoparticles (Ultra-small nanoparticles
trapped in the lignin matrix) with hydrodynamic particle size of 129.73±5.91 nm, PDI
0.19±0.003 and zeta potential -15.5 mV were fabricated by sequentially precipitating kraft
lignin with dual microfluidics chips setup (two tapered end and one tapered end chip). The
solution from two tapered end chip was directly transferred at the rate of 23 ml/hr to the inner
inlet of one tapered end chip, and precipitated at the FRR 3:20 ml/hr (3ml/hr:NaOH 0.1M) and
20ml/hr:acetone) as respective solution were infused in the outer most channel of one tapered
end chip. Particles characterized with TEM showed hybrid nanoparticles consist of Ultra small
primary particles were embedded in lignin matrix.
Conclusion: TEM image analysis suggest that we successfully developed method to fabricate
hybrid lignin nanoparticles with the average size range from 20-50 nm utilizing microfluidics
platform. Morphological analysis by TEM shows that nanoparticles are composed of ultra-
small primary nanoparticles of 2-4 nm were trapped in matrix of different material. Further
chemical characterization of this nanoparticles will help to understand its application. Keywords:
lignin, nanoparticles, nanoprecipitation, microfluidics
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Abbreviations
CNT Carbon nanotube
CVP Chemical Vapor Deposition
DLS Dynamic Light Scattering
FLS Shear Lift Force
FRR Flow Rate Ratio
HFF Hydrodynamic Flow Focusing
LNP Lignin Nanoparticles
PDMS Polydimethylsiloxane
PDI Polydispersity Index
PZC Point of Zero Charge
Re Reynolds number
SDR Spinning disc reactor
TEM Transmission Electron Microscope
WLF Wall lift force
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Contents
1. INTRODUCTION ...................................................................................................................... 1
1.1 MICROFLUIDICS ..................................................................................................................... 1
1.1.1 Materials for microfluidics devices .............................................................................. 2
1.1.2 Mechanism of microfluidics .......................................................................................... 3
1.2 NANOTECHNOLOGY AND NANOPARTICLES ........................................................................... 4
1.2.1 Sol-gel ........................................................................................................................... 5
1.2.2 Spinning ........................................................................................................................ 6
1.2.3 Chemical vapour deposition (CVD) ............................................................................. 6
1.2.4 Pyrolysis ....................................................................................................................... 6
1.3 ADVANTAGE OF MICROFLUIDICS FOR NANOPARTICLES SYNTHESIS .................................... 7
1.4 MECHANISM OF MICROFLUIDICS PRECIPITATION ................................................................ 7
1.4.1 Continuous flow ............................................................................................................ 9
1.4.2 Segmented flow ........................................................................................................... 10
1.5 LIGNIN AND ITS CHEMICAL STRUCTURE .............................................................................. 10
1.5.1 Type of lignin .............................................................................................................. 13
1.5.1.1 Soda lignin ............................................................................................................................... 13
1.5.1.2 Organosolv lignin .................................................................................................................... 13
1.5.1.3 Lignosulphonates lignin .......................................................................................................... 13
1.5.1.4 Kraft lignin .............................................................................................................................. 14
1.5.2 Chemical modification of lignin ................................................................................. 15
1.5.2.1 Lignin depolymeraization ....................................................................................................... 15
1.5.2.2 Synthesis of new chemical active sites ................................................................................... 15
1.5.2.3 Functionalization of hydroxyl group ..................................................................................... 16
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1.5.2.4 Production of lignin graft copolymers .................................................................................. 16
1.5.3 Application of lignin-based nanomaterials ................................................................ 16
1.5.3.1 Lignin-based nanoparticles as antioxidant ........................................................................... 17
1.5.3.2 Lignin-based nanoparticles as tissue engineering ................................................................ 17
1.5.3.3 Lignin-based nanoparticles as nanocomposites .................................................................... 18
1.5.3.4 Lignin-based nanoparticles for delivery systems ................................................................. 19
1.6 AIMS OF THE STUDY ............................................................................................................. 20
2. MATERIALS AND METHODS ............................................................................................ 21
2.1 MICROFLUIDICS CHIP DESIGN AND MANUFACTURE ........................................................... 21
2.2 MICROFLUIDICS SETUP ........................................................................................................ 22
2.2.1 Microfluidics setup of two tapered end chip .............................................................. 22
2.2.2 Final microfluidics setup ............................................................................................ 23
2.3 SAMPLE PREPARATION AND NANOPARTICLES FABRICATION ............................................. 24
2.3.1 Flow rate optimization of two tapered end chip ......................................................... 24
2.3.2 Flow rate optimization of one tapered end chip ......................................................... 25
2.4 CHARACTERIZATION AND EVALUATION OF NANOPARTICLES ............................................ 26
2.4.1 Dynamic light scattering and zeta potential ............................................................... 27
2.4.1.1 Principle of DLS ..................................................................................................................... 27
2.4.1.2 Zeta potential .......................................................................................................................... 28
2.5 MORPHOLOGICAL ANALYSIS OF NANOPARTICLES ............................................................. 30
3. RESULTS ................................................................................................................................. 33
3.1 OPTIMIZING FRR OF TWO TAPERED END MICROFLUIDICS CHIP ....................................... 33
3.1.1 Optimizing acetone infusion rate on nanoparticles fabrication ................................. 34
3.1.2 Effect of acetone and NaOH flow rate on nanoparticle fabrication ........................... 35
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3.1.3 Optimizing NaOH infusion rate on nanoparticles fabrication ................................... 37
3.1.4 Morphological analysis of nanoparticles by TEM ...................................................... 38
3.1.4.1 Purification and morphological analysis of lignin nanoparticles ........................................ 39
3.2 OPTIMIZATION FOR SEQUENTIAL PRECIPITATION .............................................................. 41
3.2.1 Optimization of flow rate for hybrid nanoparticles fabrication ................................. 42
3.2.2 Morphological analysis of hybrid nanoparticles by TEM .......................................... 44
4. DISCUSSION ........................................................................................................................... 47
4.1 OPTIMIZATION LIGNIN NANOPARTICLE SYNTHESIS ............................................................ 47
4.2 MORPHOLOGY OF LIGNIN NANOPARTICLES ........................................................................ 49
4.2.1 Morphology of hybrid particles .................................................................................. 50
5. CONCLUSION......................................................................................................................... 52
6. FUTURE PERSPECTIVE ...................................................................................................... 53
7. REFERENCES ......................................................................................................................... 54
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1. Introduction
1.1 Microfluidics
Microfluidics is the science of studying the behaviour, control, and manipulation of
fluids geometrically controlled to sub-millimeter dimensions, involving the integration
of fluids with micro and nanostructures devices (M. Zhang et al., 2009). Microfluidics
is an interdisciplinary subject, applicable to the wide range of fields such as
microtechnology, engineering, biotechnology, chemistry, physics, and materials
science. The development of micro-miniaturized analytical device extends the
application of microfluidics to biomedical analysis, chemical sensing, genetic analysis
and metabolic monitoring (Van Den Berg & Andersson, 2004).
Microfluidics is widely applicable for the fabrication of micro and nanoparticles because
of the possibility to manipulate the flow rate. Microfluidics provides an alternative
approach to the conventional methods of preparing nanoparticles. In comparison to the
conventional method, microfluidics device requires small reagents, short response time,
low cost and reduce cross-contamination (Igata et al., 2002). Microfluidics devices
consist of fluidic channels with a minimum of one dimension in millimeter scale. Such
fluidics channel allows high surface to volume ratio and requires small volumes of
reagents. The high surface to volume ratio allows a high rate of heat and mass transfer
that can be used for heat exchange modules for high power electron (Paik et al., 2008).
The feature of the microfluidic device is represented in figure 1.1.
The history of microfluidics devices dates to 1950, when the biological molecules of
fluids were controlled in the range of nano and sub-nanoliter range were made for the
basics of inkjet technology. Later, in 1979 the development of a silicon-miniatured gas
chromatography at Stanford University is considered as the first microfluidics device
(Terry et al.,1979). Nowadays, microfluidics is a demanding technology to fulfill the
growing needs of health care due to less sample processing time with reliable and
accurate result. It can operate small quantities of fluid within defined dimensions onto
microfluidic devices for on-chip testing (Minteer, 2006). The fluids volume required for
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the microfluidics are measured in microliters (10-6 l) to picolitres (10-12 l) and flow rates
are in the range of few microliters per minute (Stone et al., 2004). The flow within the
microfluidic devices is laminar which allow mixing by molecular diffusion.
In bulk synthesis mixing accomplishes in longer duration. Whereas small distances in
microfluidics channel allow complete mixing within few seconds or minutes (Janasek et
al., 2006).
Figure 1.1 Schematic representation of microfluidics device advantage toward the
fabrication of nanoparticles. Reprinted with permission from reference (Liu et al., 2017).
1.1.1 Materials for microfluidics devices
Physical characteristics such as flexibility, electrical conductivity, nonspecific
adsorption, optical transparency, cellular and solvent compatibilities are important
parameters for choosing a material for microfluidics devices (Nge, Rogers, & Woolley,
2013). Microfluidics devices can be manufacture from different materials, the early
devices were made of inorganic materials like glass and silicon via photolithography.
The glass is still popular for device fabrication. Due to rapid prototyping, polymers chip
including polydimethylsiloxane (PDMS) is commonly used in the research lab
(Pallandre et al., 2006). Cellulose-based materials like paper are also being used for the
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fabrication of microfluidic devices (X. Li et al., 2012). Glass capillaries are a better
choice for fabricating the microfluidics devices due to its better tolerant to wider range
of solvents, flexibility regarding application in drugs encapsulation and it also resistance
to high pressure and flow rates. Glass microfluidics device is manufactured by pulling
capillaries into a fine tip with the precise orifice, placed co-axially within a large
capillary and glued those capillaries onto a glass slide (Liu et al., 2017).
1.1.2 Mechanism of microfluidics
There are several methods for the pumping of solution through microfluidics channels,
but the most common methods are hydrodynamic and electroosmotic flow-based
pumping. The hydrodynamic pumping includes the application of pressure, via a syringe
pump or hydrostatic and centrifugal forces whereas, electroosmotic flow includes
voltage difference in microchannel that features charged surface (Burger & Ducrée,
2012).
The behaviour of the fluid flow can be explained by the Reynolds number. The Reynolds
number is a dimensionless parameter and describe the ratio of inertial forces to viscous
force of liquid in motion (Malhotra & Ali, 2018). Equation can be represented as,
𝑅𝑒 =𝐼𝑛𝑒𝑟𝑡𝑖𝑎𝑙 𝐹𝑜𝑟𝑐𝑒
𝑉𝑖𝑠𝑐𝑜𝑢𝑠 𝐹𝑜𝑟𝑐𝑒=
𝜌𝑢𝐿
𝜇
Where, u is the average flow velocity, L is the characteristic length, μ is dynamic
velocity and ρ is the density of the fluids. With increasing viscous force Re decreased
resulting in laminar fluid flow. While with increasing inertial force, Re increased
resulting in turbulent flow. Quantitatively, fluid flow with higher Reynolds number
approximately 2300 consider as transition from laminar to turbulent flow (Liu et al.,
2017).
Inertial microfluidics work on inertial migration phenomenon where particles dispersed
randomly to different equilibrium positions. The inertial migration is controlled by two
inertial forces: a) the shear gradient lift force (FLS) and b) the wall lift force (WLF).
FLS pushes the particle away from the channel centre due to curvature of fluid velocity
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and interaction with particles. While WLF counter interaction between particle and wall
of channel, resulting repulsion of particles away from the wall. These two inertial lift
forces keep particles in the equilibrium position. Whereas, fluid near the centreline of
channel have higher momentum compare to fluid near wall of channel which causes
stagnant fluid near the wall of channel, resulting two counter-rotating movements of
fluids called Dean vortex. This secondary flow produced another drag force
perpendicular to flow of fluid. Both inertial lift force and secondary flow play important
role in acquiring size-based particle separation (J. Zhang et al., 2016).
1.2 Nanotechnology and nanoparticles
Nanotechnology can be defined as “the intentional design, characterization, production,
and application of materials structures, devices and systems by controlling their size and
shape in the nanoscale range (1 to 100 nm)” (B. Y. S. Kim, Rutka, & Chan, 2010).
Nanoparticles or nanomaterials can be commonly defined as a particle having diameter
of the range of 1 to 100 nm. There is no internationally accepted standard definition of
nanoparticles, the different organizations have their own opinion in defining
nanoparticles. According to US Food and Drugs Administration (USFDA) nanoparticles
define as “materials that have at least one dimension in the range of approximately 1 to
100 nm and show dimension dependent phenomena”. Nanoparticles have a high ratio of
surface area to volume with tunable properties which is very useful for targeting site
specific drug-delivery (Xia et al.,2009).
In recent year, researchers are interested to manufacture hybrid nanoparticles, hybrid
nanoparticles consist of at least two different materials. Such hybrid nanoparticles have
improved properties to achieve multiple function that cannot be possible with single
particles. There are several hybrid nanoparticles are reported like core-shell, yolk-hell,
heterodimer, dot-in-nanotube, nano-branch, Janus nanoparticles etc (Mohapatra et al.,
2018). Microfluidics nanoprecipitation is also used to produce hybrid nanoparticle by
encapsulation of inorganic nanoparticles such as porous silicon, iron oxide, gold and
quantum dot nanoparticle within the organic nanomatrix (Liu et al., 2017).
Nanoparticles can be categorized into four types based on their material of synthesis: (1)
Carbon-based nanoparticles, these particles mostly contain carbon and morphologies are
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hollow tubes, ellipsoids or spheres. Examples are carbon nanotubes (CNT), graphene
nanosheets and nanodiamond; (2) Inorganic-based nanoparticles, include metal and
metal oxide nanoparticles. Such nanoparticles can be synthesized into metal like Au, Ag
and Cu and metal oxide such as ZnO, TiO2, Fe2O3; (3) Organic-based nanoparticles
mostly contains organic matter such as nanostarch, nanocellulose, liposomes and
polymers; (4) Composite-based nanoparticles are those nanoparticles that integrate
nanoparticles with other nanoparticles or nanoparticles that merged with bulk-type
materials such as hybrid nanofibers, or more complicated structure like metal-organic
framework and mixed metal oxide (Janczak & Aspinwall, 2012; Samyn et al., 2018).
Nanoparticles fabrication is generally categorized into bottom-up and top-down
methods. Top-down approach is the process of destruction where bulk material is broken
down into nanometric scale particles (nanoparticles). The most commonly used method
for top-down approach are mechanical milling, sputtering, laser ablation and thermal
decomposition. Bottom-up approach is a process in which nanoparticles are built up
from atomic level to nano-levels. The most common bottom-up methods are Sol-gel,
spinning, chemical vapor deposition (CVD) and pyrolysis (Ganesh Kumar et al., 2017).
1.2.1 Sol-gel
Sol-gel method is the most preferred method of bottom-up approach, sol refers to
colloidal suspension of solid nanoparticles in a liquid phage and gel is 3D
interconnecting network formed within the phases. Sol-gel methods took place in two
step reactions, at the first step solid nanoparticles are dispersed in solution to produce
Sol. Then polymerization took place to form an interconnecting network between phases
(gel). Finally, hydrolysis took place to extend polymer nanoparticles 3D network inside
the liquid. Here polymer act like a nucleating agent to boost the growth of layered
crystal. Due to layered crystal growth, the polymer seeps between layers to form
nanoparticles (Alexandre & Dubois, 2000).
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1.2.2 Spinning
Spinning is bottom-up approach that uses spinning disc reactor (SDR) for the fabrication
of nanoparticles. It consists a rotating disc inside the reactor. The reactor is filed with
the nitrogen or other types of inert gases that help to get rid of oxygen and avoid chemical
reaction. The physical parameters like temperature is controlled inside the reactor (Tai
et al., 2007). The disc can be rotated at several speed that causes atoms to fuse together
and precipitate. Finally, particles can be collected and dried. The characteristics of
synthesised nanoparticle can be determined by various operating parameters in SDR
such as disc rotating speed, liquid flow rate, liquid/precursor ratio, disc surface etc
(Mohammadi, Harvey, & Boodhoo, 2014).
1.2.3 Chemical vapour deposition (CVD)
Chemical vapour deposition (CVD) is a process of depositing solid material (thin film
or powder) from vapour by chemical reaction that occurs on or in the vicinity of heated
substrate surface. The experimental condition such as substrate temperature, substrate
material, composition of reaction gas mixture can be varied to obtain varieties of
particles. CVD process produces highly pure, uniform nanoparticles while its gaseous
by-products are highly toxic (Bhaviripudi et al., 2007; Ealias & Saravanakumar, 2017).
1.2.4 Pyrolysis
Pyrolysis is a common method used for the large scales production of nanoparticle. The
precursor (liquid or gas) is fed into the furnace through an orifice at high pressure to
burned (Kammler, Mädler, & Pratsinis, 2001). The resulting by-product gases are
classified to retrieved nanoparticles. Nowadays, laser and plasma are used instead of
flame in some of the furnaces to produce high temperature for easy evaporation (Ealias
& Saravanakumar, 2017).
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1.3 Advantage of microfluidics for nanoparticles
synthesis
Nanoparticles can be used for different application such as drug delivery, photovoltaic
cells, energy generation, gene therapy and biochemical sensing. For the effectiveness of
application, nanoparticles must be exhibit in a uniform size and shape with identical
physiochemical properties (Boken et al., 2016). In microfluidics systems chemical
reaction is carried out on a microscale including temperature control, fast mixing by
diffusion. However, in conventional batch process mixing is slow with low effective
control on mixing and temperature. The optimization of circumstances for nanoparticles
fabrication in conventional methods is difficult. The production of nanoparticle by
conventional methods takes minutes or hours. Hence, it is not possible to derive
intermediate solution with shorter lifetime compare to production time. The intermediate
solution decomposed during accumulation in conventional method whereas unstable
intermediate solution can transfer to another location and can be used in following
reaction before it can decompose in microfluidic methods (Boken et al., 2016; Park et
al., 2010). Microfluidics provide continuous-flow methods for preparing micro- and
nanoparticles in single phage or multiphase solution. (Boken et al., 2016; Tsaoulidis &
Angeli, 2015). There are different advantage of using microfluidics device for the
fabrication of nanoparticles such as processing accuracy, efficiency , cost efficiency
from low consumption of source material and reagents, rapid result production for fine
tuning properties of synthesized particles, multi-step platform design flexibility and eco-
friendly process as it uses non-toxic chemicals and reagents (Boken et al., 2016; Yeo et
al., 2011).
1.4 Mechanism of microfluidics precipitation
Mechanism of nanoprecipitation and nanoparticle synthesis can be explained in three
steps: (a) nucleation, (b) growth and (c) nanoparticle formation. Thermodynamic and
kinetic studies suggested that at first several insoluble polymer molecules rearrange or
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fused together during solvent change and form a nucleus, such process is called
nucleation. The second stage is growth, in which particle size increases with fusion of
nascent particles with the help of electrostatic force. The growth stage last until the brush
borders are forms on the surface of nanoparticles. Finally, in third stage particles deposit
with low insertion barrier, but it slightly changes the size of particles (Johnson &
Prud’homme, 2003). The growth stage of nanoprecipitation follows two mechanism,
first is the diffusion limit growth process where solute molecules stick onto the nuclei
surface until the solute equilibrium concentration is achieved. Second is diffusion
limited cluster-cluster aggregation where collision of random nuclei to form dense
structures when the nuclei concentration is high (figure 1.2) (Lepeltier et al., 2014).
Figure 1.2 Schematic representation of (a) nucleation and diffusion limited growth process
(b) diffusion limited cluster-cluster aggregation. Reprinted with permission from the
reference (Lepeltier et al., 2014).
Microfluidics devices for nanoparticle synthesis can be categorized into two group based
on hydrodynamic flow focusing (HFF) technique: (a) two-dimensional (2D) and three-
dimensional (3D) HFF. 2D-HFF consists of three inlets, the inner stream with lower
flow rate is compressed and fussed by two sheath flow from two sides in the horizontal
plan (figure 1.3). As the result of compression the mixing time will be significantly
reduced due to decrease in the diffusion length (M. Lu et al., 2016). 3D-HFF is also
called coaxial microfluidics device, where the central stream is squeeze both horizontal
and vertical direction to achieve an ideal focusing. However, the fabrication of 3D-HFF
is more complicated than 2D-HFF. 3D-HFF consists of two different size concentric
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capillaries, one with smaller diameter and another with larger diameter capillary
coaxially aligned in each other by hand (Liu et al., 2017).
Figure 1.3 Schematic representation of 2D-HFF device. (a) device without an additional
inlet for the nanoparticle stream, fluid near the edge spends the longer time. (b) HFF keep
the reaction to the centre of the channel, providing more uniform reaction time and
synthesized product distribution. Reprinted with permission from reference (Liu et al.,
2017).
Based on flow behaviour, microfluidics utilized two general principle for the fabrication
of nanoparticles a) continuous flow and b) segmented flow with liquid-liquid or gas-
liquid interaction.
1.4.1 Continuous flow
Continuous flow system is the simple and commonly used microfluidic technique for
nanoparticle fabrication. In single-phage continuous system (figure 1.3), precursor fluids
flow continuously through the microchannel where nucleation and growth phage took
place (M. Lu et al., 2016). The flow rates, concentrations of reagent, time and reaction
temperature can easily be control in this system. Moreover, nanoparticles can be easily
manipulated and modify by adding required reagents at any time throughout the process
(Uson et al., 2018). The output of the single-phase continues methods can be improved
by adjoining several similar microchannels parallelly on the same lamina (Dunne et al.,
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2015). HFF technique is a type of continues flow microfluidics, in which a sheath
solution with higher flow rate is applied to compress a central solution with a lower flow
rate from all the direction. Therefore, the diffusion distance and mixing time is reduced
and the quality of synthesized nanoparticles is improved. The size of the nanoparticles
can be controlled by changing the flow rate of central and sheath solution. Moreover,
due to the reaction is restricted within a focused central flow and the channel wall is
isolated from the precursors to avoid clogging, hence the continues formation of
nanoparticles for a long period can achieved (X. Zhao et al., 2020).
1.4.2 Segmented flow
Segmented flow microfluidic systems require microfluidic devices of various
geometrical designs such as T-junction, co-flow and flow-focusing to generate
segmented flow between liquid-liquid and liquid-gas interaction. In the liquid-liquid
segmented flow, the droplet is produced due to the instability of dispersed phage such
as water-in-oil or oil-in-water emulsions. The parameter that can affect the droplet
formation are microfluidic chip construction, solution viscosity and flow rate, which
affect the resultant size and structure of nanoparticles (W. Li et al., 2018; X. Zhao et al.,
2020). In a gas-liquid segmented flow, gas bubbles are pumped into microfluidics chip
in a controlled manner and it dispersed in continuous liquid phase. Nanoparticles
synthesized by gas-liquid segmentation are of high quality and synthesized continuously
because of it efficient mixing capacity, rapid heat and mass transfer provided by each
microdroplet (X. Zhao et al., 2020).
1.5 Lignin and its chemical structure
Lignin can be defined as a complex mixture of organic polymers with high molecular
weight (Tribot et al., 2019). The general nature of isolated lignin is amorphous brown
colored and one of the significant properties of lignin is that it absorbs UV-light. The
first time lignin was isolated in 1956 using dioxane-water (96:4 ratio) from the spruce
wood called milled wood lignin (de Gonzalo et al., 2016). Lignin is a phenylpropanoid
biopolymer, found in the plant cell wall. The plant biomass is made of cellulose,
hemicellulose and lignin. Lignin present in between cellulose and hemicellulose. Lignin
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is generally present in vascular plant tissue, where it provides mechanical support,
physical strength and rigidity to the cell structure. Plant biomass mainly consists
cellulose (38–50%), hemicellulose (23–32%) and lignin (12–25%) component (de
Gonzalo et al., 2016; Sun & Cheng, 2002).
In 1977, Adler presented the first structure of lignin where he describes lignin as “highly
branched biopolymer containing various methoxy, carboxylic, phenolic and aliphatic
hydroxyl, and carbonyl functional groups” (Adler, 1977). Lignin composition varies
from species to species. Mostly lignin is composed of carbon, hydrogen, oxygen and
ash. Its chemical formula is (C12H34O11)n (Hu & Hsieh, 2016) and molecular weight in
average between 1000 to 20000 g mol-1 depending upon methods used for extraction
(Norgren & Edlund, 2014). Lignin structure composed of three phenylpropane monomer
or monolignol units (Figure 1.4) of p-coumaryl (p-hydroxyphenyl (H) units), coniferyl
(guaiacyl (G) units) and sinapyl alcohol (syringyl (S) units) (Kun & Pukánszky, 2017).
The amount of lignin present depends on the type of plant biomass (Itoh et al., 2003;
Suhara et al., 2012). Mainly, the higher amount of lignin is present in three types of
biomass such as softwood content 25-35 % of lignin which contain G units, hardwood
content 18-25 % of lignin where G and S units are present (Silverstein, Chen, Sharma-
Shivappa, Boyette, & Osborne, 2007; Valášková et al., 2007) whereas grasses contain
lowest percentage of lignin (10-19 %) contains all the three phenylpropane (G, S and
H) units (Hendriks & Zeeman, 2009).
Figure 1.4 a) Representation of lignin position in cell wall and b) Chemical structure of
lignin monomer units. Reprinted with the permission from reference (Figueiredo et al.,
2018).
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The guaiacyl unit (G) have one OCH3 group obtain from coniferyl alcohol, syringyl units
(S) consists of two OCH3 group acquire from sinapyl alcohol and p-hydroxyphenyl units
(H) derived from p-coumaryl alcohol have no OCH3 groups. Lignin monomers are
covalently interconnected during biosynthesis to form a polymer with primary linkage
of C-C (condensed bonds) and C-O-C (ether bonds) (Henriksson, 2017). Lignin
molecules consist of different linkage, β-O-4, 5-5, β-5, 4-O-5, β-1, dibenzodioxocin and
β- β linakge. Among the linkage more than 50% is β-O-4 ether linkages present in lignin
molecules (figure 1.5)(Laurichesse & Avérous, 2014).
Figure 1.5 Schematic representation of softwood lignin chemical structure. Reprinted with
the permission from reference (Zakzeski et al., 2010).
The composition of softwood and hardwood lignin is different in the presence of the p-
coumaryl, coniferyl, and sinapyl alcohols. Softwood lignin consists of approximately
90% of coniferyl alcohols, whereas hardwood lignin consists of approximately uniform
quantities of coniferyl alcohol and sinapyl alcohol. The structure of hardwood lignin is
comparatively linear than softwood lignin because of methoxy group present on the
aromatic ring that block the initiation of 5-5 or dibenzodioxocin linkage (Zakzeski et al.,
2010).
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1.5.1 Type of lignin
Based on the different extraction process lignin can be categorized as kraft lignin,
lignosulphonates lignin, soda lignin and organosolv lignin. Commercially available
extraction process of lignin is mainly classified into sulphur and sulphur-free process,
sulphur process includes kraft and lignosulphonates lignin whereas sulphur-free process
includes soda and organosolv lignin (Laurichesse & Avérous, 2014). Each of the lignin
types has their particular chemical structure and properties. Generally, lignin is resistant
to decaying, UV absorbance, high stiffness and antioxidants are the unique properties of
the lignin. Hence, lignin can be utilized to synthesis valuable products (Beisl et al.,
2017).
1.5.1.1 Soda lignin
Soda lignin obtain by soda pulping process, such cooking process mainly uses annual
crops like flax, straws, bagasse and some hardwoods (Rodríguezv et al., 2010). Soda
lignin is utilized to produce phenolic resin, animal nutrition and dispersants. Soda lignin
is also suitable for the synthesis of polymer (Vishtal & Kraslawski, 2011).
1.5.1.2 Organosolv lignin
Organosolv lignin is a comparatively pure form of lignin with low molecular weight. It
is highly soluble in organic solvent and partially soluble in water. Due to its lower
molecular weight, it can be used as adhesives and binder. It also uses as filler in the
formulation of inks, varnishes and paints (Belgacem et al., 2003; Lora & Glasser, 2002).
1.5.1.3 Lignosulphonates lignin
Lignosulphonates lignin is water soluble and of higher molecular weight. It consists of
different functional groups such as phenolic hydroxyl groups, carboxylic groups and
sulphur containing groups. Lignosulphonates lignin is used for the fabrication of
detergents, glues, animal feed, surfactants, adhesives and cement additives (Laurichesse
& Avérous, 2014; Vishtal & Kraslawski, 2011).
14
1.5.1.4 Kraft lignin
Kraft lignin is fabricated by sulphate (kraft) cooking process, which contain
approximately 85 % of the total lignin production in the world (Tejado et al., 2007). In
kraft cooking process, about 90-95 % of the lignin is dissolved in the cooking liquor
solution containing sodium hydroxide and sodium sulfide. Around 630,00 tons of kraft
lignin is produced annually. However, lignin is mostly utilized for the low value
application such as the production of heat and energy (Chen, 2015). Around 100,000
tons of lignin is used for the other product and applications such as carrier for fertilizer
and pesticides, carbon fibers, blends with thermoplastic polymers, ion-exchange resin,
vanillin, hydroxylated aromatics, aldehydes and aliphatic (Holladay, Bozell, White, &
Johnson, 2007; Vishtal & Kraslawski, 2011).
Table 1. Chemical compositions of kraft, soda, organosolv and lignosulphonate lignin.
Reprinted with the permission of reference (Gao & Fatehi, 2019a).
Abbreviations: - KL: Kraft lignin, SD: Soda lignin, OL: Organosolv lignin, LS: Lignosulphonate lignin
Parameter KL SD OL LS
Ash(mass%) 0.5-3.0 0.7-2.3 1.7 4.0-9.3
Moisture content (mass%) 3.0-6.0 2.5-5.0 7.5 5.8
Carbohydrates (mass%) 1.0-2.3 1.5-3.0 1-3 …
Acid insoluble lignin (mass%) 91.3 86.4 92.3 …
Acid soluble lignin (mass%) 1-5 1.0-11.5 <2 …
Solvent Alkali, organic Alkali Organic Water
Nitrogen (%) 0.05 0.2-1.0 0-0.3 0.02
Sulphur (%) 1.0-3.0 0 0 3.5-8.0
OCH3 (%) 10.47 19.3 15.2 8.7
Phenolic hydroxyl groups (%) 4.1 4.5 3.3 2.2
Aliphatic hydroxyl groups (%) 10.09 3.1 3.5 …
Carboxylic group (%) 7.1 6.9 2.86 4.3
Sulphonate groups (%) … … … 12.23
Carbonyl groups (%) 2.91 2.13 3.94 4.50
Free C-3 and C-5 per C9
formulae
0.4 0.36 0.21 0.24
Molecular weight (g/mol) 1500-5000 1000-3000 500-5000 1000-50000
Polydispersity 2.5-3.5 2.5-3.5 1.5-2.5 4.2-8
15
1.5.2 Chemical modification of lignin
The phenolic and aliphatic hydroxyl groups of lignin can be easily modified to produce
new material. Lignin can be utilized with or without chemical modification, based on
their application. Chemically unmodified lignin can be used as antioxidant, UV-light
stabilizer, flame retardant and additive to promote plasticity. Chemically modified lignin
can be used in polymer synthesis, fuels and chemicals (Laurichesse & Avérous, 2014;
Pouteau et al., 2003). The chemical modification of lignin can be done by four methods:
(a) lignin depolymerization; (b) synthesis of new chemically active sites; (c)
functionalization of hydroxyl groups and (d) production of lignin graft copolymers
(Ragauskas et al., 2014).
1.5.2.1 Lignin depolymeraization
Lignin depolymerization or fragmentation is a process where lignin raw material is
converted to valuable products. Lignin is a suitable raw material for synthesizing low
molecular mass compounds such as aldehydes, aliphatic acids and vanillin (Lin et al.,
2011). Lignin fragmentation help to understand the chemical composition and structure
of lignin to produce useful material from lignin raw material. Several methods such as
pyrolysis, oxidation, hydrogenolysis, hydrolysis and gasification are used for lignin
depolymerization (Pandey & Kim, 2011).
1.5.2.2 Synthesis of new chemical active sites
Lignin chemical structure has various functional groups such as hydroxyls, methoxyls,
carbonyls and carboxyls which can be altered or modify to produce valuable lignin-
based products. Generally, modification of lignin is to synthesize new macromonomers
by changing the nature of chemically active sites. There are several methods that can be
applied for the production of new chemical sites in lignin structure such as
hydroxyalkylation, animation, nitration, sulfomethylation and sulfonation (Laurichesse
& Avérous, 2014).
16
1.5.2.3 Functionalization of hydroxyl group
Phenolic hydroxyl group of lignin is considered as the most reactive functional group
that can modify the chemical properties of the newly formed material. The modification
of hydroxyl groups can result the production of polyol derivatives of lignin. The different
reaction has been used to functionalize the lignin with different functional groups such
as alkylation, esterification, etherification, phenolation and urethanization (Laurichesse
& Avérous, 2014).
1.5.2.4 Production of lignin graft copolymers
Lignin are used to synthesize lignin graft copolymer. Lignin graft copolymer is polymer
chains attached to hydroxyl groups of lignin and form a star like branched copolymer
with lignin at the centre. The lignin graft copolymer can be synthesized by two methods:
(a) “grafting from” and (b) “grafting to”. In “grafting from” method lignin used as a
micro-initiator for the polymerization and the monomer first react with the hydroxyl
group of lignin resulting polymer chain to lignin core. In “Grafting to” methods first
polymer chain is synthesized that is functionalized with an end group to allow the
reaction with lignin and finally grafting of the polymer chains to the lignin core by the
hydroxyl groups (Laurichesse & Avérous, 2014).s
1.5.3 Application of lignin-based nanomaterials
Fabrication of lignin-based nanomaterials is in the emerging phage. Recently,
researchers are interested in the production of nanomaterials and successfully produced
several nanomaterials like nanoparticles, nanotubes, nanofibers and hydrogels from the
lignin for different application (Figueiredo et al., 2018). Lignin nanoparticles (LNP)
have several functional groups that will be modified or changed to enhance the
application potential of particles. There are several methods for the production of LNP
such as anti-solvent precipitation, interfacial crosslinking, polymerization solvent
exchange and sonication (W. Zhao et al., 2016). Lignin based nanoparticles can be
utilized in drug delivery and tissue engineering. Lignin along with other polymers is
used for the synthesis of several types of hydrogel. Hydrogels are utilized for the
production of contact lenses, wound dressing, drug delivery and tissue engineering
17
(Mishra & Wimmer, 2017). The main application of the lignin-based micro- and
nanoparticles are represented in the figure 1.6.
1.5.3.1 Lignin-based nanoparticles as antioxidant
The chemical structure of lignin consists aromatic rings of the methoxy and hydroxyl
groups that interact with different materials to manufacture antioxidant products, such
product have several applications. These functional groups terminate the oxidative
propagation reaction by releasing hydrogen (Kai et al., 2016). Lu et. al. synthesized
LNPs of an approximate size of 144 nm utilizing anti-solvent precipitation methods, he
uses 12.4 times higher concentration of lignin than the bulk lignin. The resulting
nanoparticles manifested higher antioxidant and radical scavenging activities, that is
utilized for food processing and pharmaceutical application (Q. Lu et al., 2012). Another
example of antioxidant property of LNP was observed by Yearla and Padmasree, they
manufacture dioxane LNPs of approximate size 104 nm using an anti-solvent
precipitation method. Lignin solution was dissolved in acetone and water in ratio of 9:1
volume and the water were added. The resulting LNPs shows higher antioxidant and UV
protection properties compare to the bulk lignin. Such LNPs can be useful in food,
cosmetic and pharmaceutical industries (Yearla & Padmasree, 2016).
1.5.3.2 Lignin-based nanoparticles as tissue engineering
Tissue engineering is an important and emerging field of medicine. Tissue engineering
can be applied for the replacing or repairing tissue to improving the function of the
targeted tissue by utilizing different polymers (Furth et al., 2007). Recently, several
studies prove that lignin can be used for the production of potential materials for tissue
engineering such as the development of hydrogels, aerogels and nanofibers are being
used for tissue engineering (Fernandes et al., 2013; Furth et al., 2007; Kai et al., 2017).
18
1.5.3.3 Lignin-based nanoparticles as nanocomposites
LNPs can also be used as reinforcing material in polymer matrix and nanocomposites.
The resultant copolymers have enhanced biocompatibility and thermal properties
compared to the original polymer. Gupta et. al. uses anti-solvent precipitation method,
where lignin was first dissolved in ethylene glycol and then LNPs was precipitated by
adding solvent (HCL). The fabricated LNPs was of size 181 nm, such particles were
used to prepared bio-poly (trimethylene terephthalate) hybrid nanocomposites. The
produced hybrid nanocomposites contain 1.5 % of LNPs and 7.0 % of vapor-grown
carbon fibers by weight. Their results report an improvement in the mechanical and
thermal properties of the hybrid nanocomposites (Gupta et al., 2015).
Figure 1.6 Overview of potential application of lignin-based micro- to nanoparticles.
Reprinted with the permission of reference (Beisl et al., 2017).
19
1.5.3.4 Lignin-based nanoparticles for delivery systems
Currently, LNPs for drug delivery are most widely investigating field of application.
Due to the low cost and eco-friendly properties of lignin, lignin-based nanoparticles have
the potential for encapsulation of different compounds that can be used for different
pharmaceutical applications. Fragville et. al. synthesized LNPs nanoparticles of size
range from 100 nm to a micrometer by using anti-solvent precipitation methods. Lignin
was dissolved in ethylene glycol and HCL to fabricate nanoparticles. The resulted LNPs
has no cytotoxicity for yeast and microalgae. Therefore, LNPs can be consider as a good
carrier for drug delivery, stabilizer of cosmetics and pharmaceutical products
(Figueiredo et al., 2018; Frangville et al., 2012). Qian et. al. fabricated LNPs using self-
assembly methods. The acetylated lignin was dissolved in tetrahydrofuran (THF) and
the water was gradually added up to 67 % by volume of solution. Due to the hydrophobic
interactions lignin molecules star to associate with each other and the nanoparticles were
formed in water by the evaporation of THF. Such LNPs can be used for the drug delivery
systems or microencapsulation of pesticides for target and control release (Figueiredo et
al., 2018; Qian, Deng, Qiu, Li, & Yang, 2014). The hollow nanocapsules of lignin were
synthesized by Yiamsawas et. al. using interfacial crosslinking methods. The obtained
nanoparticles of size range from 311 to 390 nm in the water, such particles can allow to
encapsulate the hydrophilic compounds like drugs, fertilizers and pesticides and can be
released by enzymatic degradation of the lignin which can be used for drug delivery in
agricultural application (Yiamsawas et al., 2014).
LNPs are also used for the gene delivery for human cells, Ten et. al. manufactured lignin
nanotubes by using nanopore alumina membranes as a template. The resulted nanotubes
show good biocompatibility and high DNA binding capacity which make nanotubes a
good carrier for gene delivery into human cells (Ten et al., 2014).
Since, lignin is generated in large quantities as a by-product from pulp and paper making
industries and generally burned to produce heat and electricity. Despite of the large-scale
production of lignin, its utilization to produce high-value product is challenging.
Recently, the production of lignin-based nanoparticles and polymers attracted the
attention of researchers. Here in this project UPM, a paper mill company supply Kraft
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lignin (UPM BioPivaTM 395) with the aim to produce nanoparticle that can be used for
different high value application. For this master thesis project, we use microfluidic
platform to develop methods to fabricate nanoparticles from supplied lignin.
1.6 Aims of the study
The objective of this study is to elucidate and understand the microfluidics technology
for the fabrication of lignin nanoparticles. Recently, microfluidics technique is gaining
attention by researchers for the fabrication of particles. Impure kraft lignin with
unknown chemical constituent is used in this project. We choose to utilize microfluidics
platform for the synthesis of nanoparticles because microfluidic reaction is carried out
on a microscale with fast mixing by diffusion and has the flexibility of designing
microfluidic chip based on the requirement of materials. Since we know the molecular
weight of lignin is high with complex chemical structure so microfluidics technique will
be the suitable for fabricating nanoparticles. The specific aims of thesis are:
➢ Studying nanoprecipitation of lignin in different solvent systems
➢ Optimizing microfluidics platform for the fabrication of lignin nanoparticles
➢ Characterizing physiochemical properties and morphological features of lignin
nanoparticles by TEM.
21
2. Materials and Methods
Lignin was supplied by the company called UPM and name of the lignin used for this
study was kraft lignin (UPM BioPivaTM 395). Microfluidics chip was design and
prepared in lab, material used for the chip preparation was microscope slides (Thermo
scientific), borosilicate glass capillary and Epoxy resin (Devcon 5-minute epoxy). The
instrument utilized were Pump (PHD 2000, Harvard Apparatus, USA), high-speed
digital microscope (Dolomite Microfluidics, UK), Zetasizer Nano series (Malvern
Instruments, UK) and Transmission electron microscope (JEM-1400 plus electron
microscope).
All the experiment was carried out in the lab of Pharmaceutical Science department at
Åbo akademi University.
2.1 Microfluidics chip design and manufacture
Microfluidics devices used for this project was three-dimensional (3D) hydrodynamic
flow focusing devices. The design of the chip was based on the solvent used for the
nanoprecipitation of lignin. Microfluidics chip used for this project has 3 inlets,
constructed using microscopic slides (75 X 25mm) by Thermo scientific and three
borosilicate glass capillaries with diameter 2.0 mm (outer), 1.5 mm (middle) and 1.0 mm
(inner). Puller model PN-31 (Narishige Japan) was used for tapering end of the
borosilicate glass capillaries. Narrow borosilicate glass capillaries (1.5 mm and 1.0 mm)
were pulled into a narrow size nozzle using puller. The value of main magnet, sub
magnet and heater of puller for 1.0 mm capillaries were adjusted to the range of 50-52,
30-32 and 80-85 and for 1.5 capillaries adjusted to 50-52, 30-32 and 90-92 respectively
to produce tapered end. Such capillaries with fine tapered end was used as inner
capillaries. The thinnest inner capillary of 1.0 mm was inserted into middle capillary
(1.5 mm) and finally were inserted into the outer (wider) capillary of 2.0 mm. The
insertion was coaxially aligned and finally placed over glass slide and metal connectors
were fixed on both ends. Out of three inlets, one receiving the fluid from inner capillary,
22
whereas outer and middle inlet were made by placing hypo needle (20ga) vertically over
the junction between outer, middle and inner capillary. Finally, capillary was aligned
over the glass slide and junctions were sealed with epoxy resin (Devcon 5-minute
epoxy).
2.2 Microfluidics setup
Microfluidics chip used for this project was of two types a) microfluidics chip with two
tapered end and b) microfluidics chip with one tapered end.
2.2.1 Microfluidics setup of two tapered end chip
Microfluidics used for nanoparticle fabrication consists of chips with coaxially arranged
inner (1.0 mm), middle (1.5 mm) and outer (2.0mm) capillary, three pumps (PHD 2000,
Harvard Apparatus, USA) and high-speed digital microscope (Dolomite Microfluidics,
UK). All the three inlets (inner, middle and outer) capillaries of chip were connected
with polyethylene tubes (scientific commodities INC, USA) to plastic BD syringes,
these plastic BD syringes are finally connected to separate pumps (figure 2.1).
Figure 2.1 (a) Microfluidics setup consisting of Harward Apparatus USA and high-speed
digital microscope. (b) 3D-HHF device with three inlets, outer inlet for NaOH, middle inlet
for acetone and inner inlet for lignin. (c) High-speed digital microscope image represent
capillaries are co-axially arranged and the flow pattern of fluids.
23
2.2.2 Final microfluidics setup
The final microfluidics design was setup for the nanoparticle fabrication consisted of
two chips, microfluidics setup of two tapered end chip described in section 2.2.1
connected to microfluidics chip with one tapered end by polyethylene tube. The
microfluidics chip with one tapered end consists of outer capillary of 1.5 mm with two
inlets and the inner capillary of 1.0 mm. Final setup of microfluidics consists of five
pumps (PHD 2000, Harvard Apparatus, USA) and high-speed digital microscope
(Dolomite Microfluidics, UK). These five inlets capillaries of chips were connected with
polyethylene tubes (scientific commodities INC, USA) to plastic BD syringes, these
plastic BD syringes are finally connected to separate pumps. One polyethylene tube was
connected from outer two tapered end chip to the inner capillary of one tapered end chip
and the one polyethylene tube is connected to outlet and end in sample collecting vial
(figure 2.2).
Figure 2.2 Schematic representation of final microfluidics setup consists of two chips
connected via polyethylene tune. Two tapered end chip contains three capillaries and three
inlets, outer inlet for NaOH (outer fluid), middle inlet for acetone (middle fluid) and inner
inlet for lignin (inner fluid). One tapered end chip consists of two capillaries with three
inlets, outer inlet for NaOH and acetone (outer fluid) and solution obtain from two tapered
end chip pass through the inner inlet (inner fluid) of one tapered end chip.
24
2.3 Sample preparation and nanoparticles fabrication
Lignin was dissolved in ethylene glycol by sonicating and alternative vertexing for
approximately for 15 minutes to ensure that the lignin was completely solubilized.
Solvents used for the nanoprecipitation was NaOH (0.1 M) and pure acetone. For two
tapered end chip, solvent used for the precipitating lignin was NaOH (0.1 M) in outer
capillary, pure acetone in middle capillary. Three different syringe of 30 ml containing
lignin (0.1%), acetone and NaOH (0.1 M) were fixed with clamps of pumps. Syringes
were connected to inner, middle and outer capillary inlet of 3D-HFF microfluidics
device via polyethylene tubes (Scientific Commodities INC, USA). Pumps was used to
control and monitor the flow rate of fluids. Different flow rate ratios (FRR) were
investigated to find the optimum flow rate for the nanoprecipitation.
2.3.1 Flow rate optimization of two tapered end chip
The flow rates of inner inlet i.e. lignin (0.1 %) was kept constant 2 ml/hr whereas flow
rates of middle inlet (acetone) and outer inlet (NaOH 0.1 M) were altered to ensure the
compatibility of result, each experiment were perform three round of sample collection.
First sample was collected at the flow rate ratio (FRR) of 2:20:0.5 ml/hr (lignin:
2ml/hour, acetone:20 ml/hour and NaOH:0.5 ml/hour), followed by different FRR such
as 2:20:1 ml/hr, and 2:20:2 ml/hr. Optimized flow rate of two tapered end chip was
determined by examine different flow rate ratio of solvents, presented in table 2. All the
sample were collected from the outlet channel in separate glass vails (4ml) via
polyethylene tube.
Table 2. The different flow rate of solvents was analysed to derive the optimized flow rate
of microfluidics chip with two tapered ends.
Solvent Lignin (0.1%)
(Inner inlet)
Acetone (pure)
(Middle inlet)
NaOH (0.1 M)
(Outer inlet)
Flow rate (ml/hr) 2 40 2
Flow rate (ml/hr) 2 20 2
Flow rate (ml/hr) 2 20 1
Flow rate (ml/hr) 2 20 0.5
Flow rate (ml/hr) 2 10 2
Flow rate (ml/hr) 2 10 0.5
25
2.3.2 Flow rate optimization of one tapered end chip
For microfluidics chip with one tapered end, solvent NaOH (0.1 M) and pure acetone
was used in the outer capillary and the solution obtain from the microfluidics chip with
two tapered ends was transferred directly to the inner capillary of one tapered end chip
for nanoprecipitation of lignin. Two different syringes of 30 ml containing NaOH (0.1
M) and acetone were fixed with clamps of pumps. Syringes were connected to outer
capillary inlet of microfluidics chip via polyethylene tubes (Scientific Commodities
INC, USA). A polyethylene tube was used to connect the outlet of two tapered ends chip
to the inner capillary of one tapered end chip. Pumps was used to control the flow rate
of fluids. The different flow rate ratio was analysed to determine the optimum flow rate
(table 3).
The flow rates of inner inlet i.e. the solution flow from outlet of two tapered end chip,
represented as (SOL1) and one of the outer inlet solvent acetone (20 ml/hr) were kept
constant whereas the flow rates of another outer solvent NaOH (0.1 M) was raised in
ascending order 1.0 ml/hr, 2 ml/hr, 3 ml/hr and 4 ml/hr during experiment. To ensure
the compatibility of result, each experiment perform three round of sample collection.
First sample was collected at the FRR of SOL1:20:1 ml/hr (SOL1 means solution flow
directly from two tapered end chip with flow rate of 23 ml/hr, 20 is acetone and 1is
NaOH flow rate), SOL1:20:2 ml/hr, SOL1:20:3 ml/hr and SOL1:20:4 ml/hr. All the
different FRR sample were collected from the outlet channel in separate glass vails (4ml)
via polyethylene tube. The collected sample were immediately evaluated with Zetasizer
Nano series (Malvern Instruments, UK) for the size distribution and zeta potential.
26
Table 3. Represent different flow rate of solvents that was analysed to determine the
optimum flow rate ratio of one tapered end chip.
Solvent SOL1
(inner inlet)
Acetone (pure)
(outer inlet)
NaOH (0.1 M)
(Outer inlet)
Flow rate (ml/hr) 23 20 1
Flow rate (ml/hr) 23 20 2
Flow rate (ml/hr) 23 20 3
Flow rate (ml/hr) 23 20 4
SOL1: optimized solution flow directly from outlet of two tapered end chip to inner inlet of one tapered chip.
Cautions:
Bubble formation should be avoided while filling the lignin and solvent solution in
syringe. Bubbles formation in the syringe can cause disturb to the fluid flow and affect
the nanoprecipitation process.
Troubleshooting:
Bubbles formation can be avoided by tapping syringe gently with a finger and by
pressing the plunger to remove bubbles out of the syringe.
2.4 Characterization and evaluation of nanoparticles
Primary characterization and evaluation of nanoparticles was done with Zetasizer Nano
series (Malvern Instruments, UK). Nanoparticles size and PDI were measured by
dynamic light scattering (DLS) with Zetasizer. For size and PDI measurement, 1 ml of
the diluted sample (30 μl of nanoprecipitate sample were dissolved in 1 ml milli-Q
water) were loaded in disposable polystyrene cuvette (VWR® cuvettes PS, USA). While
to measure the zeta-potential same instrument (Zetasizer Nano series) were used, 1 ml
of diluted sample (30 μl of nanoprecipitate sample were dissolved in 1 ml of HEPES
buffer with pH value 7 were loaded in disposable folded capillary cell (DTS1070,
Malvern Instruments, UK).The presented results are the average of three measurement
of each FRR.
27
2.4.1 Dynamic light scattering and zeta potential
Dynamic light scattering (DLS) also known as photon correlation spectroscopy or quasi-
elastic light scattering, is techniques used to measure the hydrodynamic size and surface
charge of the nanoparticles by calculation of diffusion coefficient of polymeric solution
(Stetefeld, McKenna, & Patel, 2016). Nanoparticles are in continuous Brownian motion
in solution. The charge surface of the nanoparticles generates complex interaction
between ions and molecules. Which generate layer of adsorbed ions on to the charged
surface of nanoparticles. These properties of colloidal dispersion are used by DLS and
zeta potential to calculate hydrodynamic size and potential difference.
2.4.1.1 Principle of DLS
DLS measures the hydrodynamic size of the nanoparticles by detecting the scattering
from laser that passes through colloidal solution. The light energy depends on the
particles motion, if the particles are stable light energy remain constant. When the
particles are in continuous motion, change in energy of scattering light is observed due
to constructive and destructive interferences. These fluctuating intensities is used to
determine diffusion coefficient of particles to evaluate their Brownian motion utilizing
Stockes-Einstein equation is presented below.
𝐷𝑡 =𝑘𝐵𝑇
6 𝜋𝜂𝑅𝐻
Where Dt is diffusion coefficient, KB is Boltzmann constant (1.38064852 x 10-23 J/K), T
is temperature, η is absolute viscosity and RH is hydrodynamic radius. The result of the
DLS depends on the viscosity of solvent, instrument, temperature and the refractive
index of the material radius. Here, in this project Zetasizer Nano ZS was used to
determine the hydrodynamic size of the nanoparticles. Particle size was represented as
size distribution curve and PDI reflects the width of particle size distribution by
calculating (width/mean)2 of each peak. PDI value less than 0.2 usually represents
monodisperse particles and value above 0.2 represent polydisperse particles. The DLS
gives a primary idea about the size of nanoparticles but it does not measure the original
size of the synthesized nanoparticles. Sample concentration can affect the measurement
28
of the particles size. At the higher concentration of sample, multi-scattering causes the
interaction among the scattered light of other particles resulting in loss of intensity and
gives small size reading in comparison to the original. While in very diluted
concentration light scattering is not effective. There is no any standard concentration for
optimum size of particles. There are different factors such as scattering volume, laser
power, length of scattering, detector sensitivity and material properties can affect the
optimum concentration. In practice optimum concentration can be set for particular
material by screening the serial dilution to determine the optimum concentration
(Bhattacharjee, 2016; Stetefeld et al., 2016).
2.4.1.2 Zeta potential
Zeta potential or electrokinetic potential can define as “the potential at the slipping/shear
plane of colloid particle moving under electric field”(Bhattacharjee, 2016). Zeta in
Greek letter denoted as ζ, hence also called as ζ-potential. Zeta potential describe the
potential difference between the electric double layer and the dispersion medium at the
slipping plane (figure 2.3).
Figure 2.3 Diagram represented ionic concentration and potential difference as a function
of distance from the nanoparticle surface. Electrical double layer of nanoparticle consists
of inner stern layer and outer diffuse layer. In Stern layer ions are bound strongly and in
diffuse layer ions are bound less firmly. The potential difference between the double layer
and the dispersion medium is zeta potential. Figure obtain from the Malvern Instrument
website: https://www.malvernpanalytical.com/en/assets/MRK1839_tcm50-17228.pdf
29
The surface of the nanoparticles consists of double layer, inner Stern layer contains
opposite charged ion at the particle surface. The outer diffuse layer composed of both
opposite and the same charged ion. These both layers are referred as an electrical double
layer. The slipping plane is form with in the diffuse layer due to the movement of
charged particles towards the opposite electrode in the electric field and it is used to
calculate the zeta potential.
To measure zeta potential first the electrophoresis mobility (μe) of particles are to be
calculated as given in equation below.
𝜇𝑒 =𝑉
𝐸
Where V is particular velocity (μm/s) and E is electric field strength (Volt/cm).
Now zeta potential can be calculated using the value of μe in the Henery’s equation.
𝜇𝑒 =2𝜀𝑟𝜀0𝜁𝑓(𝑘𝑎)
3𝜂
Where 𝜀𝑟is relative permittivity/dielectric constant, 𝜀0 is permittivity of vacuum, 𝜁 is
zeta potential, 𝑓(𝑘𝑎) is Henry’s function and 𝜂 is viscosity at experimental temperature
(Bhattacharjee, 2016).
There are several factors that influence the zeta potential measurement such as pH and
ionic strength. Depending upon the surface charge of particle the zeta potential can be
either positive or negative. Hence, at particular pH zeta potential can be reached to
isoelectric point where zeta potential of particle became zero, it is also called point of
zero charge (PZC). The loss of isoelectric repulsion causes colloidal dispersion unstable
resulting in flocculation or agglomeration. Ionic strength affects the zeta potential by
influencing the compactness of electric double layer. With increasing ionic strength, zeta
potential decreases by compressing electric double layer and vice versa. Zeta potential
here in this experiment mainly use to evaluate the surface charge of the nanoparticles.
Another main purpose of zeta potential measurement was to get information about the
colloidal dispersion stability. The colloidal dispersion stability can be explained by
theory called DLVO theory that state the sum of Van der Waal forces and electrostatic
30
repulsive forces are mainly responsible for stability. The colloidal dispersion stability
can be classified as highly unstable, relatively stable, moderately stable and highly stable
based on zeta potential value ±0-10, ±10-20, ±20-30 and ≥±30 respectively
(Bhattacharjee, 2016; Missana & Adell, 2000).
2.5 Morphological analysis of nanoparticles
Further, Transmission electron microscopy (TEM; JEM-1400 Plus Electron
Microscope, JEOL, Japan) were used to confirm the result of DLS and zeta-potential.
TEM were used for the morphological analysis of nanoparticles.
To prepare the TEM sample, particles obtain from the microfluidics outlet were
transferred to Eppendorf and centrifuged (LaboGene, Denmark) at 13 rpm for 8 min.
Pellets collected was washed once with different solvents and then re-dispersed in 1 ml
of same solvent. List of solvents used for washing are presented in table 4. The sample
were properly mixed by vortexed and sonicated before 10 μl of dispersed sample was
dropped on the carbon-coated grid (Ted Pella Inc., USA). The grid was left for overnight
for drying.
Table 4. List of solvents used for washing nanoprecipitate.
Solvents
Acetone
Ethanol
HCL
Water
31
Figure 2.4 Transmission electron microscope used for the morphological analysis of
nanoparticles. JEM-1400 Plus Electron Microscope (JEOL, Japan).
TEM principle is based on the penetration of electrons through a sample or specimen.
For the imaging, TEM uses different type of lenses to form a transmission electron
diffraction pattern and the image magnification in the range of 103 to 106 can be
obtained. To understand the mechanism of TEM, the instrument can be classified into
three parts: a) Illumination systems, b) specimen stage and c) imaging systems.
Illumination systems consist of the electron gun, the electron gun in JEM-1400 electron
microscope comprises of a V-shaped crystal fabricated of lanthanum hexaboride (LaB6)
(R. F. Egerton, 2016).
32
A beam of electron is generated when the current passes through V-shaped crystal of
LaB6 heats the tip of crystal to 1800k to emits electron under vacuum condition is called
thermion emission. Such emitted electron is accelerated through an electric field and
focus on the sample by two different condenser lenses. Nowadays, mostly lenses used
for the electron beam are electromagnetic lenses. In the specimen stage, pre-prepared
copper grip is placed on a small circular hole at the tip of sample holder. The sample
holder is inserted into the side-entry stage of the vacuum TEM column through airlock.
Finally, the imaging systems produce magnified images using a series of lenses. The
operating voltage used in JEM-1400 Plus Electron Microscope was 80KV, which result
resolution of 10 nm. There are several other advanced electron microscopes that can use
high accelerating voltage such as 200KV, 100KV and produce resolution of 0.2 nm
and 0.3 nm (Ray F. Egerton, 2005). To get well resolved image, working panel equipped
with the control system to adjust magnification, focus and brightness. Generally, image
was taken with magnification of 8000x, 20000x and 200000x to get pictures of size of
scale 1μm, 200nm and 50nm.
33
3. Results
Kraft lignin (UPM BioPivaTM 395) supplied by UPM, was used in this project for
fabricating nanoparticles with microfluidics technology. Lignin was dissolved in
ethylene glycol whereas NaOH was used for triggering precipitation and acetone as a
counter solvent.
The overall results of this project can be explained in two major parts: first one is
optimizing flow rate ratio (FRR) of two tapered end microfluidics chip and second one
is optimizing FRR of one tapered end microfluidics chip for sequential precipitation.
3.1 Optimizing FRR of two tapered end microfluidics
chip
Design of the microfluidic chip is described in section 2.2. We design such type of
microfluidics chip because we were unable to precipitate the lignin with one solvent.
Based on the literature we know that the chemical structure of lignin is a complex and it
has different functional group such as methoxy, carboxylic, carbonyl, phenolic and
aliphatic hydroxy. Since, lignin structure have different functional group. We
hypothesized that if we introduce NaOH in addition to acetone so that NaOH will ionize
acids presented in lignin and will trigger the precipitation. As the lignin used in this
project is impure and we do not have knowledge about its chemical characterization.
Based on this hypothesis we design the microfluidic chip, consist of three inlets with
two tapered ends, from inner inlet lignin (0.1%), middle inlet acetone and outer inlet
NaOH (0.1 M) were supplied.
The flow rate of used solvents in this project were varied in different order to investigate
how flow rate of solvents affect the physicochemical properties such as particles size
and distribution of fabricated lignin nanoparticles. To optimization of FRR for
nanoprecipitation three set of experiment were performed with different sets of solvents
FRR.
34
3.1.1 Optimizing acetone infusion rate on nanoparticles
fabrication
Acetone was used as counter solvent; we select acetone as counter solvent for this project
because we used impure lignin with unknown chemical characteristic. Therefore, we
must select such solvent which have ability to dissolve both polar and nonpolar
substance. NaOH was used for triggering precipitation by ionizing acid present in lignin.
Ethylene glycol were used to dissolve lignin and 0.1% of lignin was used in this project.
The flow rate of lignin (0.1%) were always kept constant at 2 ml/hr because we used
impure lignin and lignin have high molecular weight, ranging from 1000 to 50000 g/mol
(see table 1). Hence, we kept lignin flow rate constant and we changed FRR of other
solvents to optimized nanoprecipitation.
To optimize the nanoparticle fabrication, at first flow rate of inner fluid lignin (0.1%)
and the outer fluid NaOH (0.1 M) were kept constant at 2 ml/hr whereas middle fluid
acetone volume varied in ascending order 10, 20 and 40 ml/hr. Hence, three different
flow rate ratio (FRR) 2:10:2 ml/hr (2 ml/hr lignin: 10 ml/hr acetone: 2 ml/hr NaOH),
2:20:2 and 2:40:2 ml/hr was evaluated to determine optimum conditions for the
nanoparticles fabrication, results presented in figure 3.1.
Figure 3.1 a) Average hydrodynamic nanoparticle size of lignin in response of different
flow rate ratio (FRR) measured with Zetasizer Nano ZS. b) Corresponding polydispersity
index (PDI) in response of different FRR measured with Zetasizer Nano ZS. Standard
deviation was presented in both diagrams.
Following results were derived from this experiment, it was observed that the particle
size was tunable with the changes in the flow rate of acetone. The particle size and
35
polydispersity index (DPI) were increased with decreasing FRR of the acetone. Particles
with hydrodynamic size of 113.65±19.54 nm and PDI 0.14±0.03 at the highest FRR (i.e.
2:40:2 ml/hr) were observed. Whereas, particle size increased to 347.47±71.19 nm and
PDI 0.5±0.11at the lowest flow rate of acetone (2:10:2 ml/hr) used in the study. It is
obvious to increase the size of the particles with decreasing flow rate of acetone. As we
know at low Reynold number, (i.e. high inertial force) the central stream is squeezed
into a narrow steam between two adjacent streams. Such narrow width stream causes
rapid mixing by diffusion. If mixing occur faster than the time scale for aggregation of
nanoparticles, size of the particles expected to be small and more homogeneous than the
particles prepared at slow mixing. Here in this experiment high flow rate of acetone
generate rapid mixing time compare to the low flow rate of acetone. Hence the size of
the particle increased with decreasing flow rate of acetone. Particles were easily tunned
from 113.65±19.54 nm to 347.47±71.19 nm by successively decreasing flow rate of
acetone from 40 ml/hr to 10 ml/hr.
3.1.2 Effect of acetone and NaOH flow rate on nanoparticle
fabrication
The flow rate of inner fluid (lignin 0.1%) was kept constant (2 ml/hr) and in contrast the
flow rate of middle (acetone) and outer (NaOH 0.1 M) fluids was varied to optimize
lignin nanoprecipitation. Hence, following flow rate were studied i.e. 2:40:2 ml/hr (i.e.
2 ml/hr of lignin: 40 of acetone: 2 ml/hr of NaOH), 2:20:1 and 2:10:0.5 ml/hr. Result
obtained from Zetasizer Nano ZS are represented in figure 3.2.
36
Figure 3.2 a) Average hydrodynamic nanoparticle size of lignin in function with different
flow rate ratio (FRR). b) Corresponding polydispersity index (PDI) in response of different
FRR and c) zeta potential of nanoparticle measured with Zetasizer Nano ZS. Standard
deviation is presented in the diagrams.
The second series of optimization was conducted by manipulating both flow rate of
acetone and NaOH. Subsequently particles were collected and particles size and zeta
potential were analysed with zetasized Nano ZS. Optimization was started with high
acetone and NaOH flow rate i.e. 2:40:2 ml/hr and gradually decreased to 2:20:1 and
2:10:0.5 ml/hr. At the FRR of 2:40:2 ml/hr, size of the particles was 113±19.54 nm, PDI
0.14±0.03 and zeta potential -17.19±4.83 mV and the size of particles increased to
162.5±1.82 nm, PDI and zeta potential decreased to 0.12±0.02 and -24.6±2.17 mV
respectively at FRR of 2:20:1 ml/hr. Whereas, size of the particles decreased to
157.3±12.68 nm, PDI and zeta potential increased to 0.16±0.02 and -3.54±0.31
respectively at the FRR 2:10:0.5. Based on the hydrodynamic size, PDI and zeta
potential value FRR 2:20:1 ml/hr consider as optimal flow rate. Generally, PDI value
less than 0.2 consider as monodispersed particles and zeta potential in the range of ±20-
30 is considered as the colloidal dispersion stability of particles is moderately stable.
-17.19
-24.6
-3.54
-30
-25
-20
-15
-10
-5
0
2:40:2 ml/hr 2:20:1 ml/hr 2:10:0.5 ml/hr
Su
rfa
ce c
ha
rge
of
pa
rtic
le
Flow rate ratio (FRR)
Zeta potential in response of concentration c)
37
3.1.3 Optimizing NaOH infusion rate on nanoparticles
fabrication
Following the results mentioned in section 3.1.2, experiment was set by changes in the
flow rate of outer fluid NaOH in ascending order as 0.5, 1.0 and 2.0 ml/hr to ensure the
effect of NaOH on nanoparticles fabrication and also to find the optimum concentration
of NaOH for ionization of acid that might be present in the lignin. Therefore, the
experiment was set with FRR as 2:20:0.5 (2 is lignin, 20 is acetone and 0.5 is NaOH),
2:20:1 and 2:20:2 ml/hr. The results derived from Zetasizer Nano ZS were presented in
figure 3.3.
Figure 3.3 a) Average hydrodynamic nanoparticle size of lignin in function with different
flow rate ratio (FRR). b) Corresponding polydispersity index (PDI) in response of different
FRR and c) zeta potential of nanoparticle were measured with Zetasizer Nano ZS.
Standard deviation is presented for each value in the diagrams.
-9.7
-24.6-19.34
-40
-30
-20
-10
0
2:20:0.5 ml/hr 2:20:1ml/hr 2:20:2 ml/hr
Su
rfa
ce c
ha
rge
of
pa
rtic
le
Flow Rate Ratio (FRR)
Zeta potential in response with
concentration
c
38
The hydrodynamic size of the particles at FRR 2:20:0.5 ml/hr was 125.96±1.68 nm,
corresponding PDI 0.09±0.004 and the zeta potential -9.7±2.18 mV, size of the particles
was increased to 162.5±1.82 nm, PDI increased to 0.12±0.017 and zeta potential
decreased to -24.6±2.17 mV at FRR 2:20:1 ml/hr. While the size of particles decreased
to 133±20.42 nm, PDI and zeta potential increased to 0.35±0.11 and -19.6±10.91 mV at
FRR of 2:20:2 ml/hr. The results obtained from this experiment conclude that the FRR
2:20:1 ml/hr was the optimal flow rate based on the size, PDI and zeta potential value
for the nanoprecipitation of nanoparticles.
3.1.4 Morphological analysis of nanoparticles by TEM
The optimized FRR (2:20:1 ml/hr) was selected for the nanoprecipitation and TEM
image analysis of lignin nanoparticles. Nanoprecipitate of stock sample obtain by
microfluidics were analyzed with TEM. Carbon-coated grid were prepared for TEM
image analysis, preparation of carbon-coated grid was described in section 2.5.
Figure 3.4 TEM image of lignin nanoparticles derived by microfluidics at optimized FRR
of stock solution. Scale bar: a) 500 nm and b) 200 nm.
TEM image of stock sample presented in figure 3.4 shows different types of particles.
We observed at least three different nanoparticles, first porous nanoparticles (average
size from 50 to 80 nm), nonporous particles and dark nanocrystals. Hence, interested
and focused on purification of nanoparticles especially porous particles as there are no
reports on synthesis of porous nanoparticles from lignin material.
39
3.1.4.1 Purification and morphological analysis of lignin nanoparticles
The nanoprecipitate derived utilizing microfluidics technique were washed with
different solvents and carbon-coated grid were prepared for TEM image analysis.
Purification of nanoprecipitate were conducted with single solvent system and
sequential washing systems by using different solvents (table 5).
Table 5. Represent different purification systems of nanoprecipitate and resulted types of
nanoparticles by TEM.
Single solvent system
Solvent Nanoparticles types
Acetone Porous and spherical
Ethanol Solid and spherical
HCL Porous and spherical
Water Porous and spherical
Sequential washing system
Acetone-ethanol Solid and spherical
Acetone-ethanol-HCL Solid and spherical
Since the chemical composition of lignin is unknow we must have to select appropriate
solvent for washing nanoprecipitate. Therefore, we decide to wash the nanoprecipitate
with different type of solvents such as acetone, ethanol, HCL and water. These solvents
have different properties: acetone has ability to dissolve both polar and nonpolar
substances, ethanol dissolve nonpolar substances, HCL is excellent solvent for metal
oxide and metals and water is consider as universal solvent as it dissolves more
40
substance than other liquid. Sequential washing was performed with the possibility of
removing nonporous and nanocrystal the solution. Sequential washing systems uses
acetone, ethanol and HCL, for sequential washing nanoprecipitate was first washed with
acetone and the remaining precipitate was washed with ethanol. Likewise,
nanoprecipitate washed with acetone and remaining precipitate washed with ethanol and
finally remaining precipitate with HCL. The TEM results derived after washing
nanoprecipitate is presented in figure 3.5.
Figure 3.5 TEM image of lignin nanoparticles washed with different solvents a) washed
with acetone, scale bar 100 nm, b) washed with ethanol, scale bar 100 nm, c) washed with
HCL, d) washed with water, scale bar: 100 nm.
TEM image represented the morphological characterization of fabricated nanoparticles,
it was observed that the nanoparticles derived after the washing with solvents acetone,
HCL and water was porous nanoparticle, while nanoparticle obtained by washing with
ethanol was solid spherical nanoparticles presented in figure above. The average size of
fabricated nanoparticle was in the range of 50 to 80 nm in diameter. TEM image of
sequential washing is presented in figure 3.6.
41
Figure 3.6 TEM image of lignin nanoparticles washed with different solvents by
sequential precipitation a) washed with acetone and remaining precipitate was
wash with ethanol, scale bar: 100 nm and b) washed with acetone and remaining
precipitate was washed with ethanol and finally remaining precipitate washed with
HCL, scale bar: 200 nm.
TEM result shows the nanoparticles derived after the sequential washing are of solid and
spherical structure. The average size of derived nanoparticles is in the range of same as
it was obtained by washing individual solvents. Unfortunately, the results presented in
figure 3.5 and 3.6 were not reproducible but we able to obtain few porous nanoparticles
in some of the repeated experiments.
3.2 Optimization for sequential precipitation
Following the results mention in section 3.1.4 and discussion with the supervisor, it was
suggested that the porous nanoparticles may presented in the lignin but might be in small
quantity or it might be of hybrid nature. Lignin used in this project was impure and its
chemical constituent is not characterised but based on the literature we know that the
lignin is complex organic polymer which is composed by three phenylpropane
monomers. Lignin monomers are covalently interconnected with different linkage such
as C-C (condensed bonds) and C-O-C (ether bonds), β-O-4, 5-5, β-5, 4-O-5, β-1,
42
dibenzodioxocin and β- β to form polymer. Since the chemical structure of lignin is
complex and link with several linkage that might be the reason, we do not able to
nanoprecipitate those porous or hybrid particles. Therefore, we decided to use sequential
precipitation to overcome this problem. Two microfluidic chips were utilized for the
sequential precipitation of nanoparticles. The microfluidics chip and the optimum flow
rate of two tapered end chip kept the same as it was described in section 3.1.3. Second
chip was designed having three inlets with one tapered end, the schematic representation
of experimental setup was represented in figure 2.2.2.
3.2.1 Optimization of flow rate for hybrid nanoparticles
fabrication
The optimum flow rate (2:20:1ml/hr) of two tapered end chip was kept constant as it
was already optimized by several experiment (see section 3.1) and for the one tapered
end chip the inner fluid (solution directly transfer from two tapered end chip outlet to
one tapered end chip inner inlet is represented as SOL1) and one of the outer fluid
acetone (20 ml/hr) were kept constant and the another outer fluid NaOH (0.1 M) were
varied in ascending order from 1, 2, 3 and 4 ml/hr. Therefore, the flow rate was
represented as SOL1:20:1 ml/hr, where SOL1 is solution directly transferred at the rate
of 23 ml/hr from two tapered end chip outlet to inner inlet of one tapered end chip, 20
ml/hr is the flow rate of acetone and 1ml/hr is flow rate of NaOH (0.1M) in outer inlet
of one tapered end chip. Hence, following flow rates: SOL1:20:2 ml/hr, SOL1:20:3
ml/hr and SOL1:20:4 ml/hr were used to optimized the synthesis of hybrid nanoparticles.
The result acquired from Zetasizer Nano ZS were presented in figure 3.7.
43
Figure 3.7 a) Average hydrodynamic nanoparticle size measured in function with four
different flow rate ratio (FRR) and b) corresponding PDI in response of different FRR
were measure with Zetasizer Nano ZS. Standard deviation is presented for each value.
The hydrodynamic size of particle obtained at FRR SOL1:20:1 was 134.7±21.89 and
PDI 0.15±0.07 nm and particle hydrodynamic size decreased to 106.4±6.1 nm and PDI
0.13±0.08 at FRR SOL1:20:2, from this point particles hydrodynamic size start to
increase with increasing FRR . At the FRR SOL1:20:3, hydrodynamic size of particles
was 129.73±5.91 nm, PDI 0.19±0.003 and zeta potential -15.5 mV. The hydrodynamic
134.7
106.4
129.73
166.85
0
20
40
60
80
100
120
140
160
180
SOL1:20:1 SOL1:20:2 SOL1:20:3 SOL1:20:4
Pa
rtic
le s
ize
(nm
)
Flow Rate Ratio (FRR)
Hydrodynamic particle size in function with
concentrationa)
0.150.13
0.19
0.14
0
0.05
0.1
0.15
0.2
0.25
SOL1:20:1 SOL1:20:2 SOL1:20:3 SOL1:20:4
Po
lyd
isp
ersi
ty I
nd
ex (
PD
I)
Flow Rate Ratio (FRR)
PDI in function with concentrationb)
44
size of particles reached to 166.85±1.76 at FRR SOL1:20:4 while PDI value decreased
to 0.14±0.08.
3.2.2 Morphological analysis of hybrid nanoparticles by
TEM
Nanoprecipitate obtained from FRR of SOL1:20:1, SOL1:20:2, SOL1:20:3 and
SOL1:20:4 ml/hr were used for the TEM image analysis. Precipitate was dispersed with
acetone and carbon-coated grid were prepared for TEM image analysis. The results
obtained by TEM concluded that the FRR SOL1:20:3 ml/hr has nanoparticles and at
other flow rate no particles were observed. Whereas, few nanoparticles were spotted at
the FRR of SOL1:20:4 ml/hr. The TEM image of FRR SOL1:20:3 is presented in figure
3.8.
Figure 3.8 TEM image of lignin nanoparticles with size ranging from 20 to 50 nm a) low
magnification at 8000X TEM image of lignin nanoparticles, scale bar: 1 µm, b) lignin
nanoparticles image with magnification of 25,000X, scale bar: 200 nm, c) image of
nanoparticles with scale bar of 100 nm and d) image of lignin nanoparticles taken at
200,000X magnification, scale bar: 50 nm.
45
TEM image were taken at different magnification ranging from 8,000X to 200,000X.
The size of particles ranged from 20 to 50 nm in diameter. Morphological analysis by
TEM indicates that the synthesized nanoparticles were of hybrid nature. Ultra-small
primary nanoparticles between 2 to 4 nm were found trapped the matrix of different
material that aided to glue primary particles together to form spherical nanoparticles of
size range from 20 to 50 nm.
For the conformation, TEM image of solution obtained from two tapered end chip and
the solution obtained from one tapered end chip were taken (figure 3.9).
Figure 3.9 a) TEM image of lignin nanoprecipitate derived from two tapered end
microfluidic chip with optimum flow rate set by the experiment (2:20:1 ml/hr),
scale bar: 200 nm and b) TEM image of lignin nanoprecipitate obtain by one
tapered end microfluidic chip with FRR of 2:20:3 ml/hr, scale bar:100 nm.
Analysis of TEM image presented in figure 3.9 suggests, image (a) obtain from
nanoprecipitate of two tapered end microfluidic chip with the FRR of 2:20:1 ml/hr,
hybrid particles were not observed instead deposition of large non porous particles was
seen that appeared to be the material giving rise to matrix structure. Contrarily, from one
tapered end microfluidic chip with the flow rate of 2:20:3 ml/hr (2 is lignin, 20 is acetone
and 3 is NaOH). We were able to observe ultra-small nanoparticles in coherence with
morphology of primary nanoparticles observed in hybrid nanoparticles. When we plot
the size distribution by number curve of particles obtained at FRR of SOL1:20:3, 2:20:1
(two tapered end chip) and 2:20:3 (one tapered end chip). We clearly see the tree
46
different peak of different flow rate (figure 3.10), where the peak of hybrid nanoparticles
formation falls between the peak of two tapered end and one tapered end chip.
Figure 3.10 Representation of size distribution by number curve of optimized flow rate for
hybrid nanoparticles, two tapered end and one tapered end microfluidic chip.
Therefore, based on TEM image and size distribution by number curve presented above,
it can be concluded that the fabrication of hybrid nanoparticles from set of two
microfluidics chip is the results of sequential precipitation. First matrix component is
precipitated by the two tapered end microfluidics chip and then one tapered end
microfluidic chip aids in assembly of matrix material into a nanocomposite and
subsequently precipitates primary particles. Therefore, hybrid particles are fabricated
when two processes i.e. matrix assembly into a nanoparticle and precipitation of primary
nanoparticles are materialized simultaneously, as shown in figure 3.8. Synthesis of
unique hybrid particles was achieved with the FRR of SOL1:20:3 ml/hr after successive
series of optimization steps.
47
4. Discussion
The main objective of this project is to develop a method to fabricate lignin nanoparticles
applying microfluidics platform. The kraft lignin (UPM BioPivaTM 395) was used for
this project. Lignin was selected because of unique properties such as resistance to
decaying, UV absorbance, high stiffness and antioxidants. These properties make lignin
suitable material for producing high value products (Beisl, Miltner, et al., 2017). Lignin
is a polymer composed of three monomer units of p-coumaryl, coniferyl and sinapyl
alcohol (Kun & Pukánszky, 2017). These monomers are covalently interconnected with
primary linkage of C-C (condensed bonds) and C-O-C (ether bonds) to form a polymers
(Henriksson, 2017). Chemical structure of lignin is highly branched with various
functional group such as methoxy, carboxylic, phenolic and aliphatic hydroxyl, and
carbonyl (Adler, 1977), these group can be modify to produce new material.
In this study microfluidics technology was used for synthesizing nanoparticles.
Nanoprecipitation is one of the most widely used techniques for the production of the
nanoparticles (Martínez Rivas et al., 2017). Here we apply microfluidics techniques for
the fabrication of nanoparticles because it requires comparatively small reagents, short
response time, low cost and the chances of contamination is very low (Igata et al., 2002).
4.1 Optimization lignin nanoparticle synthesis
Microfluidics devices are composed of millimeter scale fluidics channels which allow
high surface to volume ratio and requires small volume of reagents (Paik et al., 2008).
There are several bulk methods for the fabrication of nanoparticles, but the colloidal
dispersions of nanoparticles fabricated by bulk method have several challenges to obtain
uniform size distribution and reproducibility of semiconductor quantum dots (QD) (Jahn
et al., 2008).
To fabricate lignin nanoparticles with microfluidics, flow rate ratio (FRR) between outer
and inner fluids was optimized by performing several experiments (section 3.1 and 3.2).
It is well known that flow rate impacts the physiochemical properties such as
48
hydrodynamic size and size distribution of nanoparticles (Abstiens & Goepferich, 2019).
Based on the experiments, FRR 2:20:1 ml/hr was selected as the optimum flow rate of
two tapered end microfluidics chip for nanoprecipitation. The selected flow rate was
based on hydrodynamic flow focusing (HFF) technique (figure 1.3) where higher flow
rate is employ to compress central solution with the lower flow rate from all direction,
resulting in decreased diffusion distance and mixing time and eventually improve the
quality of synthesized nanoparticles (Liu, Zhang, Fontana, et al., 2017). The
hydrodynamic size and surface charge of particles was measured by dynamic light
scattering (DLS). DLS gives a primary idea about the size of nanoparticles but does not
measure the original size of the synthesized nanoparticles, the principle of DLS is
describe in section 2.4.1.1.
During optimization, we were able to synthesize colloidal dispersion of monodispersed
nanoparticles based on size PDI and zeta potential at the FRR 2:20:1 ml/hr. The theory
of nucleation can help to explain the mechanism of it (Lamer & Dinegar, 1950).
According to nucleation theory, ideally a system can promote seeding in a supersaturated
concentration for a short time that followed by depletion of solute molecules for
initiating particles growth by rapid diffusion, resulting nanoparticles are of uniform size
distribution and low PDI (Jahn et al., 2008).
Zeta potential represents the stability of nanoparticles and measure repulsive force that
help to keep particles separately and prevent aggregation. Zeta potential of selected
optimized FRR is -24.6±2.17 mV, which is a net surface charge of the particles.
According to Bhattacharjee, zeta potential in range of ±20-30 represent the particles are
moderately stable colloidal dispersed. The PDI value represents uniform size
distribution, PDI value ≤ 0.1 particles are highly monodispersed and value above 0.2
represents polydispersity of particles (Bhattacharjee, 2016). Colloidal dispersions of
nanoparticles fabricated at FRR 2:20:1 ml/hr had hydrodynamic particle size of
162.5±1.82 nm, low PDI (0.12±0.017) and negative surface charge (-24.6±2.17 mV)
indicates stable and monodispersed colloidal dispersion. Hence, the selected FRR
(2:20:1 ml/hr) had optimum parameters for fabricating nanoparticles.
49
4.2 Morphology of lignin nanoparticles
Morphological analysis of nanoparticles is done with the transmission electron
microscopy (TEM). TEM images showed porous lignin nanoparticles as shown in the
image presented in figure 3.4 and 3.5. To confirm the results, we repeated our
experiment several times, unfortunately results were not reproducible. However, in some
experiment we observed the porous nanoparticles in smaller quantities in few sections
of grid. Such type of porous nanoparticles was not reported from the lignin. Based on
literature, reported lignin nanoparticles are spherical nanoparticles, nanotubes,
nanofibers and hydrogels (Figueiredo et al., 2018). Therefore, we interested to fabricate
such porous nanoparticles. With the suggestion of supervisors, we try to elucidate the
reason behind obtaining few porous nanoparticles in some of the experiment. Lignin
used for this project was impure and the chemical characterization is unknown thus we
do not have any evidence to characterize the porous particles. Finally, we come up with
two hypothesis, first one is that the porous nanoparticles might be present in the lignin
but it may present in small quantities so it cannot be precipitated with the present setup
of microfluidics chip and the second on is that these nanoparticles might be the hybrid
particles and it way require sequential precipitation.
Schematic representation of microfluidics chip design for the sequential precipitation is
represented in the figure 2.2. and the optimization of flow rate is described in section
3.2.1. Based on the hydrodynamic size and PDI value of particles, we select FRR
SOL1:20:1, SOL1:20:2: SOL1:20:3 and SOL1:20:4 for TEM image analysis. TEM
results manifest porous type nanoparticles at the FRR of SOL1:20:3 and comparatively
few nanoparticles at FRR SOL1:20:4. However, we did not obtain any particles at lower
flow rate concentration of NaOH i.e. at FRR of SOL1:20:1 and SOL1:20:2 and the
number of particles also decreased with the increasing concentration of NaOH. These
results suggest that the flow rate of NaOH (0.1 M) play important role for the
nanoprecipitation by ionizing acid presented in lignin. It also support the antisolvent
nanoprecipitation method, which suggest the raw lignin should be soluble in selected
solvent based on the type of lignin and their extraction process (Lievonen et al., 2016).
50
4.2.1 Morphology of hybrid particles
TEM image obtains from the sequential precipitation is presented in figure 3.8, the
morphological analysis of nanoparticles shows the nanoparticles are of hybrid nature.
TEM images were taken on various magnification and the magnified image indicate the
nanoparticles are made of two material. When we analysed the magnified image of
TEM, it can be suggested that synthesized nanoparticle is the combination of ultra-small
(2-4 nm) nanoparticles is trapped in the matrix of another material aided to glue primary
nanoparticles together to form spherical nanoparticles of range 20 to 50 nm in diameter
(figure 3.8. d). Such type of lignin-based nanoparticles was not reported yet. Several
types of lignin-based nanoparticles were reported such as spherical, non-spherical,
colloidal spherical, nano capsules, nanotubes and nanofibers (Figueiredo et al., 2018;
Gao & Fatehi, 2019b). Lignin is utilized to fabricate organic-inorganic hybrid
nanoparticles such as mesoporous lignin/silica hybrid nanoparticles by sol-gel method
(Qu et al., 2010). Microfluidic nanoprecipitation approach effectively used in capsulate
inorganic nanoparticles such as porous silicon, iron oxide gold nanoparticles within
organic nanomatrix to produce hybrid nanoparticles for biomedical application (Y. Kim
et al., 2013; Liu, Zhang, Cito, et al., 2017). Lignin structure consists of sufficient amount
of different oxygen containing group that allow physical adsorption, hydrogen bonding,
coordination, covalent linkage and acid-base interaction with other compounds
(Telysheva et al., 2009). Whereas, presence of hydroxyl groups in lignin structure can
help to incorporate lignin into silica structure to modify its pores, leading lignin/silica
hybrid particle (Qu et al., 2010). Recently, lignin/silica hybrid nanoparticles
functionalized with sulfonic acid-terminated polyamidoamine was synthesized by sol-
gel method (Ahmadi & Abdollahi, 2020). Lignin composition varies from species to
species and it also varies with the extraction process. Lignin consists of different
functional groups i.e. aliphatic and aromatic hydroxyl, carbolic acid and ether linkage
(Kumar, Kumar, & Bhowmik, 2018). Three stage mixing microfluidic device were used
to prepare hollow structure lipid-polymer hybrid nanoparticles to entrap hydrophilic
therapeutics like small interfering RNA (L. Zhang et al., 2015). Since, we used
microfluidics device for sequential precipitation so it is possible to entrap some
molecules within matrix as lignin used for this project is impure and it might consist of
51
different materials. Therefore, hybrid lignin nanoparticles fabricated by microfluidics
assisted sequential nanoprecipitation need more detail chemical and morphological
characterization which shall be undertaken as a future endeavor.
To investigate mechanism of hybrid lignin nanoparticles synthesis, product obtained
from double tapered end chip and single tapered end chip, was analyzed with TEM
microscopy. Results showed that double tapered end chip produced large non-porous
particles or polymer aggregates whereas, ultra-small nanoparticles were obtained from
single tapered end chip that resembled the primary nanoparticles observed in hybrid
lignin nanoparticles. However, fabrication of hybrid lignin nanoparticles was only
possible when lignin was processed in a sequential manner, first by double tapered end
chip, followed by single tapered end chip. Hence it is concluded that hybrid lignin
nanoparticles are fabricated through sequential precipitation. First matrix component is
precipitated as polymer particles or aggregates, in the presence of acetone and NaOH in
the double tapered end chip whereas primary particles were precipitated in the single
tapered end chip. Subsequent self-assembly of matrix component of lignin around
primary particles, results in enveloping of primary particles in the matrix component to
fabricate hybrid lignin nanoparticles.
52
5. Conclusion
Microfluidics is an interdisciplinary subject to study microtechnology, engineering,
biotechnology, chemistry, physics, and materials science. Here in this study, we develop
and optimized microfluidics platform for the fabrication of hybrid nanoparticles from
lignin. For the fabrication of nanoparticle, we design and prepare 3D hydrodynamic flow
focusing devices (microfluidic chip) in our lab. Two type of microfluidics chip was
utilized a) microfluidics chip with two tapered end and b) microfluidics chip with one
tapered end. The optimum FRR for the two tapered end chip was 2:20:1 ml/hr (2 is 0.1%
lignin, 20 is acetone and 1 is 0.1M NaOH) to optimally fabricate nanoparticle, the
resulting nanoparticles average hydrodynamic size of 162.5±1.82 nm, PDI 0.12±0.017
and zeta potential -24.6±2.17 mV.
For the fabrication of hybrid nanoparticles, we used sequential precipitation method
where we combine both microfluidics chip to develop optimum FRR for lignin
nanoprecipitation. The optimum flow rate for the sequential precipitation was
SOL1:20:3 ml/hr, where SOL1 is solution directly transferred at the rate of 23 ml/hr
from two tapered end chip outlet to inner inlet of one tapered end chip, 20 (ml/hr)
represents the flow rate of acetone and 1(ml/hr) represents flow rate of NaOH (0.1M) in
the one tapered end chip outer inlet . The resulting average nanoparticles hydrodynamic
size of 129.73±5.91 nm, PDI was 0.19±0.003 and zeta potential -15.5 mV.
TEM image analysis conclude that we were able to develop method to fabricate hybrid
lignin nanoparticle of average size 20-50 nm by sequential precipitation method with
optimum FRR of SOL1:20:3 by using microfluidics platform. Hybrid nanoparticles can
be used for multiple function such as to deliver multi-drug to enhanced different diseases
(cancer) treatment efficacy. Ones we characterized the hybrid nanoparticles then its
application can be specified based on its biocompatibility.
53
6. Future perspective
Based on the investigation present in this study, interesting features and importance of
lignin have been brought to light. Synthesized nanoparticle in this study is of unique and
different structure then other lignin-based nanoparticles. Therefore, detail
morphological analysis of this nanoparticles has to be done. Further study such as
chemical characterization of the particles will help to understand the chemical
constituent of nanoparticles. TEM image of present study suggest the nanoparticle is of
hybrid nature or may consist of pore. For the characterization of chemical constituent of
hybrid nanoparticle, it is important to characterize the ultra-small nanoparticle and
matrix of hybrid nanoparticles. The characterization of hybrid material will open wide
range of further study such as its biocompatibility with different cell line, utilizing as
drug delivery for various diseases or using for different application.
54
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